Provided is a system, method, and computer program product for performing targeted advertising of a product. A processor may identify a consumer demography of potential consumers for an advertising campaign of a product. The processer may identify an inventory node map of the product. The processor may analyze the consumer demography and node map to identify a geographical collection of consumers for the advertising campaign according to an inventory availability relative to the consumer demography. The processor may determine relative expenses and a risk of inventory outages associated with order fulfillments of the product from the node map to form a fulfillment assessment map. The processor may update the geographical collection of consumers according to an optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and inventory location using the fulfillment assessment map. The processor may target adverting based on the updated geographical collection of consumers.
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1. A system comprising: a processor; and a computer-readable storage medium communicatively coupled to the processor and storing program instructions which, when executed by the processor, cause the processor to perform a method comprising: identifying a consumer demography of potential consumers for an advertising campaign of a product; receiving, through a network, inventory data associated with the product from an inventory management system; in response to receiving the inventory data, generating an inventory node map of the product, wherein the inventory node map comprises inventory levels of one or more retail stores and one or more distribution centers of a geographic location; analyzing the consumer demography and the inventory node map; in response to the analyzing, identifying a geographical collection of consumers for the advertising campaign according to an inventory availability relative to the consumer demography; receiving, through the network, fulfillment data associated with the product from a fulfillment optimization system; in response to receiving the fulfillment data, determining relative expenses and a risk of inventory outages associated with order fulfillments of the product from the inventory node map; generating, based on the determining, a fulfillment assessment map; updating the geographical collection of consumers according to an optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and inventory location using the fulfillment assessment map; and rebalancing adverting based on the updated geographical collection of consumers.
This invention relates to an advertising optimization system that integrates consumer demographics, inventory data, and fulfillment logistics to enhance targeted advertising campaigns. The system addresses the challenge of aligning advertising efforts with real-time inventory availability and fulfillment capabilities to maximize profitability while minimizing stockouts. A processor executes program instructions stored in a computer-readable medium to perform the optimization process. The system first identifies consumer demographics for a product's advertising campaign and retrieves inventory data from an inventory management system. Using this data, it generates an inventory node map showing stock levels across retail stores and distribution centers in a specific geographic area. The system then analyzes the consumer demographics alongside the inventory node map to identify a geographical collection of consumers most likely to engage with the campaign based on product availability. Fulfillment data from a fulfillment optimization system is also received, allowing the system to assess the costs and risks of inventory outages associated with order fulfillment from the mapped inventory nodes. A fulfillment assessment map is generated to evaluate these factors, and the initial consumer collection is refined to optimize profit and reduce stockout risks by adjusting inventory distribution. Finally, the advertising strategy is rebalanced according to the updated consumer collection, ensuring targeted ads align with both demand and supply chain dynamics. This approach improves advertising efficiency by dynamically linking consumer targeting with inventory and fulfillment logistics.
2. The system of claim 1 , wherein the updating the geographical collection of consumers according to the optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and the inventory location using the fulfillment assessment map, comprises: transferring, in response to optimizing profit and minimizing inventory outage thresholds being met, a first inventory of the product at a first inventory location to a second inventory of the product at a second inventory location; and updating the geographical collection of consumers related to the second inventory location, wherein the updated geographical collection of consumers is increased based on the transferring of the first inventory to the second inventory location.
This invention relates to inventory management systems that optimize profit and minimize stockouts by dynamically adjusting inventory locations based on consumer demand. The system uses a fulfillment assessment map to evaluate inventory availability and location, then updates consumer assignments to inventory locations to improve service levels and profitability. When predefined profit and stockout thresholds are met, the system transfers inventory from a first location to a second location. After the transfer, the geographical collection of consumers assigned to the second inventory location is expanded, allowing more consumers to access the product. This adjustment ensures that inventory is positioned closer to high-demand areas, reducing outages and increasing revenue. The system continuously monitors performance metrics to determine optimal inventory redistribution, improving overall supply chain efficiency. The invention addresses the challenge of balancing inventory distribution to meet demand while maximizing profitability and minimizing disruptions.
3. The system of claim 1 , wherein the updating the geographical collection of consumers according to the optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and the inventory location using the fulfillment assessment map, comprises: comparing the risk of inventory outages associated with order fulfillments of the product for a first inventory location to an inventory safety stock maximum threshold; and removing, in response to the inventory safety stock maximum threshold being met, a first inventory location from the advertising campaign.
This invention relates to optimizing inventory management and advertising campaigns in a supply chain system. The problem addressed is balancing inventory availability and minimizing stockouts while maximizing profit through targeted advertising. The system dynamically adjusts inventory locations and availability based on fulfillment assessments to improve operational efficiency and reduce costs. The system generates a fulfillment assessment map that evaluates inventory distribution across multiple locations. It updates the geographical collection of consumers targeted by advertising campaigns by analyzing inventory safety stock levels. Specifically, the system compares the risk of inventory outages at a given inventory location against a predefined safety stock threshold. If the threshold is met or exceeded, the system removes that location from the advertising campaign to prevent overpromising inventory that may not be available. This ensures that advertising efforts align with actual inventory capacity, reducing customer dissatisfaction and operational disruptions. The system also optimizes inventory placement by adjusting locations based on demand patterns and fulfillment efficiency, ensuring that high-demand products are stocked in optimal locations. This approach minimizes stockouts while maintaining profitability by avoiding unnecessary advertising for locations with insufficient inventory. The overall goal is to enhance supply chain responsiveness and customer satisfaction through data-driven inventory and advertising decisions.
4. The system of claim 1 , wherein the optimizing profit and minimizing inventory outages criteria are determined by analyzing historical cost data and inventory outage data using machine learning.
This invention relates to an inventory management system that optimizes profit and minimizes inventory outages by leveraging machine learning techniques. The system addresses the challenge of balancing cost efficiency with supply reliability in inventory management, where traditional methods often fail to dynamically adapt to changing market conditions or demand patterns. The system collects and analyzes historical cost data, including procurement costs, storage expenses, and other financial metrics, alongside inventory outage data, which tracks instances of stock shortages. By applying machine learning algorithms, the system identifies patterns and correlations between these datasets to predict optimal inventory levels. The machine learning models are trained to weigh the trade-offs between holding excess inventory (which increases costs) and understocking (which leads to lost sales and customer dissatisfaction). The system continuously updates its recommendations based on new data, ensuring adaptability to real-time market fluctuations. The machine learning component may use supervised learning techniques, such as regression or classification models, to forecast demand and optimize reorder points. Unsupervised learning methods, like clustering, may also be employed to segment inventory items based on their cost and outage impact. The system may further incorporate reinforcement learning to refine its strategies over time, adjusting inventory policies in response to feedback from actual performance. By integrating these advanced analytics, the system provides actionable insights to inventory managers, enabling them to maintain optimal stock levels that maximize profitability while minimizing disruptions due to stockouts. The approach reduces reliance on static inven
5. A method comprising: identifying, by a processor, a consumer demography of potential consumers for an advertising campaign of a product; receiving, by the processor and through a network, inventory data associated with the product from an inventory management system; in response to receiving the inventory data, generating, by the processor, an inventory node map of the product, wherein the inventory node map comprises inventory levels of one or more retail stores and one or more distribution centers of a geographic location; analyzing, by the processor, the consumer demography and the inventory node map; in response to the analyzing, identifying, by the processor, a geographical collection of consumers for the advertising campaign according to an inventory availability relative to the consumer demography; receiving, by the processor and through the network, fulfillment data associated with the product from a fulfillment optimization system; in response to receiving the fulfillment data, determining, by the processor, relative expenses and a risk of inventory outages associated with order fulfillments of the product from the inventory node map; generating, by the processor and based on the determining, a fulfillment assessment map; updating, by the processor, the geographical collection of consumers according to an optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and inventory location using the fulfillment assessment map; and rebalancing, by the processor, adverting based on the updated geographical collection of consumers.
The invention relates to optimizing advertising campaigns for products by dynamically adjusting ad targeting based on consumer demographics, inventory availability, and fulfillment logistics. The system identifies consumer demographics for potential customers of a product and retrieves inventory data from an inventory management system, including stock levels across retail stores and distribution centers in a specific geographic area. Using this data, the system generates an inventory node map that visualizes product availability across different locations. The system then analyzes the consumer demographics alongside the inventory node map to identify a geographical collection of consumers most likely to engage with the advertising campaign, considering product availability in their vicinity. Additionally, the system receives fulfillment data from a fulfillment optimization system to assess the costs and risks of inventory outages associated with order fulfillment from the mapped inventory nodes. Based on this analysis, it generates a fulfillment assessment map that evaluates the trade-offs between profit optimization and minimizing inventory shortages. The system then updates the geographical consumer collection by adjusting the inventory availability and location to balance profitability and inventory risk. Finally, the system rebalances the advertising campaign to target the updated consumer group, ensuring ads are directed toward areas with optimal product availability and fulfillment efficiency. This approach enhances advertising effectiveness by aligning ad targeting with real-time inventory and logistics data.
6. The method of claim 5 , wherein the updating the geographical collection of consumers according to the optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and the inventory location using the fulfillment assessment map, comprises: transferring, in response to optimizing profit and minimizing inventory outage thresholds being met, a first inventory of the product at a first inventory location to a second inventory of the product at a second inventory location; and updating the geographical collection of consumers related to the second inventory location, wherein the updated geographical collection of consumers is increased based on the transferring of the first inventory to the second inventory location.
This invention relates to optimizing inventory distribution in a supply chain to maximize profit and minimize stockouts. The problem addressed is efficiently managing inventory across multiple locations to meet consumer demand while balancing cost and availability. The solution involves dynamically adjusting inventory placement based on real-time demand data and fulfillment assessments. The method uses a fulfillment assessment map to evaluate inventory availability and location. When predefined profit optimization and stockout minimization thresholds are met, inventory is redistributed. Specifically, a first inventory of a product at a first location is transferred to a second location, increasing the inventory at the second location. This transfer is based on demand patterns and fulfillment efficiency. After the transfer, the geographical collection of consumers associated with the second location is updated to reflect the increased inventory availability, effectively expanding the serviceable area for that location. The redistribution ensures that inventory is positioned closer to high-demand areas, reducing outages and improving profitability. The system continuously monitors and adjusts inventory placement to maintain optimal distribution.
7. The method of claim 5 , wherein the updating the geographical collection of consumers according to the optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and the inventory location using the fulfillment assessment map, comprises: comparing the risk of inventory outages associated with order fulfillments of the product for a first inventory location to an inventory safety stock maximum threshold; and removing, in response to the inventory safety stock maximum threshold being met, a first inventory location from the advertising campaign.
This invention relates to optimizing inventory management and advertising campaigns for product fulfillment in a geographical distribution network. The problem addressed is balancing profit maximization while minimizing inventory outages, ensuring efficient product availability across multiple locations. The method involves dynamically updating a geographical collection of consumers based on inventory availability and location adjustments. A fulfillment assessment map is used to evaluate inventory distribution. Specifically, the method compares the risk of inventory outages for a product at a given inventory location against a predefined safety stock maximum threshold. If the threshold is met, indicating high risk of stockouts, the system removes that inventory location from the advertising campaign to prevent overpromising product availability. Additionally, the method includes adjusting inventory levels and locations to optimize fulfillment efficiency. This involves analyzing historical and real-time data to predict demand and inventory needs, ensuring that products are stocked in locations where they are most likely to be purchased while avoiding excess inventory in low-demand areas. The system continuously monitors inventory levels and adjusts advertising campaigns in real time to maintain optimal stock levels and minimize outages. The solution improves supply chain efficiency by dynamically aligning inventory distribution with consumer demand, reducing costs associated with excess stock or stockouts, and enhancing customer satisfaction through reliable product availability.
8. The method of claim 5 , wherein the optimizing profit and minimizing inventory outages criteria are determined by analyzing historical cost data and inventory outage data using machine learning.
This invention relates to inventory management systems that optimize profit and minimize inventory outages using machine learning. The problem addressed is the challenge of balancing cost efficiency with supply availability in inventory management, where traditional methods often fail to dynamically adjust to changing market conditions or demand fluctuations. The method involves analyzing historical cost data and inventory outage data to determine optimal inventory levels. Machine learning techniques are applied to this data to identify patterns and predict future demand, cost trends, and potential stockouts. The system then adjusts inventory levels in real-time to maximize profit while ensuring minimal disruptions from outages. The machine learning models are trained on past performance metrics, allowing them to refine their predictions over time. The approach integrates cost analysis with demand forecasting, enabling businesses to reduce excess inventory costs while maintaining sufficient stock to meet customer needs. By leveraging historical data, the system adapts to seasonal variations, supplier lead times, and other variables that impact inventory decisions. The result is a more responsive and efficient inventory management process that aligns with financial and operational goals.
9. A computer program product comprising a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising: identifying a consumer demography of potential consumers for an advertising campaign of a product; receiving, through a network, inventory data associated with the product from an inventory management system; in response to receiving the inventory data, generating an inventory node map of the product, wherein the inventory node map comprises inventory levels of one or more retail stores and one or more distribution centers of a geographic location; analyzing the consumer demography and the inventory node map; in response to the analyzing, identifying a geographical collection of consumers for the advertising campaign according to an inventory availability relative to the consumer demography; receiving, through the network, fulfillment data associated with the product form a fulfillment optimization system; in response to receiving the fulfillment data, determining relative expenses and a risk of inventory outages associated with order fulfillments of the product from the inventory node map; generating, based on the determining, a fulfillment assessment map; updating the geographical collection of consumers according to an optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and inventory location using the fulfillment assessment map; and rebalancing adverting based on the updated geographical collection of consumers.
This invention relates to optimizing advertising campaigns for products by dynamically adjusting ad targeting based on real-time inventory data, consumer demographics, and fulfillment logistics. The system identifies the demographics of potential consumers for a product and retrieves inventory data from an inventory management system, including stock levels across retail stores and distribution centers in a specific geographic area. It generates an inventory node map showing product availability at these locations. The system then analyzes the consumer demographics alongside the inventory map to determine which geographic regions have the highest potential for sales while considering product availability. Fulfillment data from a fulfillment optimization system is also received, allowing the system to assess the costs and risks of inventory shortages associated with order fulfillment from different locations. A fulfillment assessment map is generated to evaluate these factors, and the system updates the target consumer regions based on optimizing profit and minimizing inventory outages. Finally, the advertising campaign is rebalanced to focus on the updated geographic consumer groups, ensuring ads are directed where inventory is available and fulfillment is efficient. This approach improves ad effectiveness by aligning marketing efforts with supply chain dynamics.
10. The computer program product of claim 9 , wherein the updating the geographical collection of consumers according to the optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and the inventory location using the fulfillment assessment map, comprises: transferring, in response to optimizing profit and minimizing inventory outage thresholds being met, a first inventory of the product at a first inventory location to a second inventory of the product at a second inventory location; and updating the geographical collection of consumers related to the second inventory location, wherein the updated geographical collection of consumers is increased based on the transferring of the first inventory to the second inventory location.
This invention relates to optimizing inventory management and distribution in a supply chain to maximize profit and minimize stockouts. The system dynamically adjusts inventory locations based on demand patterns and fulfillment efficiency, ensuring products are strategically placed to serve consumers while balancing cost and availability. The process involves analyzing a fulfillment assessment map, which evaluates inventory availability and location performance, to determine optimal redistribution. When predefined profit and stockout thresholds are met, inventory is transferred from a first location to a second location to better align with demand. This redistribution expands the geographical coverage of consumers associated with the second location, improving service levels and operational efficiency. The system continuously updates inventory distribution to adapt to changing market conditions, ensuring optimal stock placement and minimizing disruptions. The solution leverages real-time data and predictive analytics to automate inventory adjustments, reducing manual intervention and enhancing overall supply chain performance.
11. The computer program product of claim 9 , wherein the updating the geographical collection of consumers according to the optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and the inventory location using the fulfillment assessment map, comprises: comparing the risk of inventory outages associated with order fulfillments of the product for a first inventory location to an inventory safety stock maximum threshold; and removing, in response to the inventory safety stock maximum threshold being met, a first inventory location from the advertising campaign.
This invention relates to optimizing inventory management and advertising campaigns for e-commerce or retail systems. The problem addressed is balancing profit maximization with minimizing inventory outages, ensuring products remain available while efficiently allocating inventory across locations. The system uses a fulfillment assessment map to analyze inventory availability and location, adjusting advertising campaigns based on inventory risk. The method involves updating a geographical collection of consumers targeted by an advertising campaign by evaluating inventory safety stock levels. Specifically, it compares the risk of inventory outages at a given inventory location against a predefined safety stock maximum threshold. If the threshold is met, indicating high risk of stockouts, the system removes that location from the advertising campaign to prevent overpromising inventory that may not be available. This ensures that advertising efforts focus on locations where inventory is sufficiently stocked, reducing customer dissatisfaction and lost sales due to outages while maintaining profitability. The approach dynamically adjusts advertising based on real-time inventory data, optimizing both supply chain efficiency and marketing effectiveness.
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May 20, 2021
March 15, 2022
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